University Certification Courses
By
JAIN University, IFIM Business School & PRAXIS Business School

Evolved and designed by veterans in the Analytics industry, this program prepares students and working professionals, especially people from a non-tech background (from Business, Statistics, Math) to start or improve upon a career in the growing Data and Analytics domain. A perfect blend of technology, Data science and business cases and insights, the program stands out as among the best in the world. While we cover Technology and coding to an extent, it is designed in a way as to make people from a non-tech background also comfortable and focus on their areas of strength such as Statistics, Business analytics. No better opportunity for the Business/Statistics professionals to take a big leap in their career

The ancient science of statistics has found a new life and relevance because of the availability of software tools and techniques that allow oceans of data to be churned at ease to yield the valuable managerial insights that allow us to address real life situations faced by managers in areas like retail, telecom, banking, finance, insurance and operations. Machine Learning (ML) algorithms have applications across various industries and different functional areas. ML and Artificial Intelligence technologies run on the platform provided by Big Data and Analytics. This course will provide the tools and techniques students need for this emerging situation.

Evolved and designed by veterans in the Analytics industry, this program has a perfect blend of technology, Data science and business cases and insights. The program covering foundational concepts and hands-on learning of leading analytical tools, as well as functional analytics across domains. Learners will not only gain theoretical knowledge of data science tools, but also gain exposure to business perspectives and industry best practices through lectures and mentoring interventions. The program has in-built flexibility to assimilate and incorporate technology updates into the modules, on the fly.

Today’ s technology and engineering advances in domains such as Artificial Intelligence and Machine Learning run on the broad platform provided by deep data sciences. So it is essential for aspirants in Big Data domain to have a complete knowledge of Data Science as much as any other natural science. Those who complete this program can aspire to become data scientists, who are involved in creating the right ecosystem that supports data led decision making and strategies. Not only in corporate organizations but also in key sectors like governments which seek to optimize effort and resources.

The ancient science of statistics has found a new life and relevance because of the availability of software tools and techniques that allow oceans of data to be churned at ease to yield the valuable managerial insights that allows us to address real life situations faced by managers in areas like retail, telecom, banking, finance, insurance and operations. Machine Learning (ML) algorithms have applications across various industries and different functional areas. The technologies of ML and emerging Artificial Intelligence is powered by and run a platform provided Big Data and Analytics. In business and in any other government or public organization, the primary objective of ML is to assist in decision making. You will learn advanced statistical tools, techniques and machine learning applications during the 11 month course.